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AI-Powered Auditory Training and Its Role in Strengthening Musical Memory: A Systematic Review in Higher Music Education

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Title: AI-Powered Auditory Training and Its Role in Strengthening Musical Memory: A Systematic Review in Higher Music Education
Language: English
Authors: Lin He, Zhao-ling Chen (ORCID 0009-0000-2453-1605)
Source: European Journal of Education. 2026 61(2).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 12
Publication Date: 2026
Document Type: Journal Articles
Information Analyses
Descriptors: Artificial Intelligence, Music Education, Technology Integration, Technology Uses in Education, Memory, Auditory Training, Program Effectiveness
DOI: 10.1111/ejed.70569
ISSN: 0141-8211
1465-3435
Abstract: Integrating artificial intelligence (AI) into music education has emerged as a transformative development, particularly in auditory training. This systematic review investigates the effectiveness of AI-powered auditory training tools in enhancing musical memory, specifically short-term, working, and long-term memory among university-level music students. In accordance with the PRISMA guidelines, eight peer-reviewed empirical studies published between 2017 and 2025 were selected using predefined inclusion and exclusion criteria. Findings indicate that AI-powered auditory training tools significantly improve learners' pitch discrimination, rhythmic accuracy, melodic recall, and auditory retention compared to conventional teaching approaches. These improvements were largely due to the tools' ability to deliver adaptive, engaging, and personalised learning experiences grounded in cognitive learning theories, such as spaced repetition, retrieval practice and multisensory integration. This review contributes to the growing literature advocating data-driven, learner-centred approaches to music pedagogy in the digital age.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1507056
Database: ERIC
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  Data: AI-Powered Auditory Training and Its Role in Strengthening Musical Memory: A Systematic Review in Higher Music Education
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  Data: <searchLink fieldCode="AR" term="%22Lin+He%22">Lin He</searchLink><br /><searchLink fieldCode="AR" term="%22Zhao-ling+Chen%22">Zhao-ling Chen</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-2453-1605">0009-0000-2453-1605</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Education%22"><i>European Journal of Education</i></searchLink>. 2026 61(2).
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Music+Education%22">Music Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Memory%22">Memory</searchLink><br /><searchLink fieldCode="DE" term="%22Auditory+Training%22">Auditory Training</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink>
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  Data: 10.1111/ejed.70569
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  Data: 0141-8211<br />1465-3435
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  Data: Integrating artificial intelligence (AI) into music education has emerged as a transformative development, particularly in auditory training. This systematic review investigates the effectiveness of AI-powered auditory training tools in enhancing musical memory, specifically short-term, working, and long-term memory among university-level music students. In accordance with the PRISMA guidelines, eight peer-reviewed empirical studies published between 2017 and 2025 were selected using predefined inclusion and exclusion criteria. Findings indicate that AI-powered auditory training tools significantly improve learners' pitch discrimination, rhythmic accuracy, melodic recall, and auditory retention compared to conventional teaching approaches. These improvements were largely due to the tools' ability to deliver adaptive, engaging, and personalised learning experiences grounded in cognitive learning theories, such as spaced repetition, retrieval practice and multisensory integration. This review contributes to the growing literature advocating data-driven, learner-centred approaches to music pedagogy in the digital age.
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